CN115856724B - Transformer winding fault identification method considering temperature factors - Google Patents
Transformer winding fault identification method considering temperature factors Download PDFInfo
- Publication number
- CN115856724B CN115856724B CN202211481052.6A CN202211481052A CN115856724B CN 115856724 B CN115856724 B CN 115856724B CN 202211481052 A CN202211481052 A CN 202211481052A CN 115856724 B CN115856724 B CN 115856724B
- Authority
- CN
- China
- Prior art keywords
- winding
- frequency response
- transformer
- temperature
- fault
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004804 winding Methods 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000012360 testing method Methods 0.000 claims abstract description 12
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 3
- 238000006073 displacement reaction Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims 1
- 238000010998 test method Methods 0.000 claims 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Landscapes
- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
Abstract
The invention discloses a transformer winding fault identification method considering temperature factors, which comprises the steps of firstly, testing a transformer, adjusting the temperature of the transformer winding, and obtaining frequency response curves of the transformer at different temperatures; calculating a winding state judgment factor sigma by combining curve deviation rates mu i of frequency response curves of the transformer windings at different temperatures to judge the fault type; calculating a temperature rise associated frequency response curve of the transformer winding, and judging the type of deformation fault according to an angle characteristic F in a phase frequency domain of the temperature rise associated frequency response curve; and finally judging the specific type of the radial deformation fault through a distance factor D combining the amplitude frequency domain and the phase frequency domain.
Description
Technical Field
The invention relates to an internal fault identification method of power equipment, in particular to a transformer winding fault identification method considering temperature factors.
Background
The transformer is a very important ring in the power system, and the role of the transformer cannot be replaced, so that the running state of the transformer directly influences the safety and reliability of the power system. Meanwhile, the transformer is high in cost, and once the transformer fails, the loss caused by the transformer is very large. The winding fault ratio is very large in transformer faults, the winding can be slightly deformed due to jolt generated during transportation of the transformer, and the most main reason is that the winding is deformed due to strong electric power generated by short-circuit current when the transformer is in short circuit, and the transformer faults are caused by very serious deformation of the winding under the accumulation effect, so that the safety and stability of a power system are affected. Therefore, the state of the transformer is detected in time, the state of the transformer winding is judged, and the method has very important significance for preventing sudden faults of the transformer.
The frequency response method is the most widely used transformer winding fault detection method at present, and the transformer can be equivalent to a passive two-port network consisting of resistance, inductance and capacitance under high frequency, so that the winding deformation can be directly reflected to the change of parameters inside, and the fault type can be judged through the change of a frequency response curve. However, the judgment index of the current frequency response method requires a great deal of knowledge of staff, the judgment accuracy of the current frequency response method is low for different transformers, and particularly, a unified judgment standard is not formed for different fault types.
Disclosure of Invention
The application provides a transformer winding fault identification method considering temperature factors, which can accurately and effectively judge the state of a transformer winding according to the proposed characteristic parameters.
The application provides a transformer winding fault identification method considering temperature factors, and a test platform mainly comprises the following steps: the frequency response tester (1), an iron core (2), a high-voltage winding (3), a low-voltage winding (4), a temperature sensor (5), a current source (6), a transformer box (7), a sleeve (8), a computer (9), a switch a (10) and a switch b (11) is characterized in that frequency response curves of different temperatures are combined, transformer characteristics are extracted according to the temperature, an amplitude-frequency curve and a phase-frequency curve, and the transformer characteristics are used for judging winding states, and the specific testing method comprises the following steps:
step one: obtaining frequency response signals at different temperatures
Measuring transformer frequency response signals of a transformer in different temperature environments, wherein the output end of a frequency response tester (1) is connected to the bottom of a high-voltage winding (3) through a sleeve (8), the test end of the frequency response tester (1) is connected to the top of the high-voltage winding (3) through the sleeve (8), a direct current source (6) is connected with the sleeve (8) through a switch b (11) and is used for applying current to the winding to control the temperature of the winding, firstly, a switch a (10) is opened, the switch b (11) is closed, the amplitude of the current source (6) is simultaneously adjusted to switch on the current to control the temperature, the temperature around the winding is monitored through a temperature sensor (5), the temperature sensor (5) is connected with a computer (9) to monitor the temperature in real time, the switch b (11) is opened after the temperature reaches a target value, the frequency response curve of the transformer winding in the state is obtained by switching on the frequency response tester (1), the switch a (10) is repeatedly tested in this way, the frequency response curve of the transformer winding with the winding temperature of 10 as a gradient is obtained, the frequency response curve A (i(f),Ai(f)＝[ai1 ai2…aiN) is measured through the frequency response tester, the amplitude value A3565 is measured, and the amplitude of phase angle delta 35N 35 phase angle data are respectively, and the amplitude 35N 35 data of the phase angle N are obtained;
Step two: the transformer winding fault judgment comprises the following steps:
(1) Calculating the curve deviation rate mu of the frequency response curve between the winding to be detected and the normal winding at different temperatures i
Wherein, T i represents the temperature when the ith frequency response curve is measured, T 0 represents the temperature under normal conditions, a ij represents the amplitude of the jth frequency point in the ith frequency response curve, a j represents the amplitude of the jth frequency point in the normal conditions, and N represents the number of collected data points;
(2) Calculating to obtain winding state judgment factor sigma
If M 1≥σ≥M2, judging that the winding has no fault; if sigma is more than M 1 or sigma is less than M 2, judging that the winding fails, wherein M 1,M2 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
step three: the transformer winding fault type judgment comprises the following steps:
(1) Calculating temperature rise associated frequency response curve
Wherein x j,yj represents the values of the amplitude and the phase angle in the temperature rise associated frequency response curve when the sampling points j epsilon [1, N ] are respectively;
(2) Calculating the angular characteristics of the frequency response curve
Wherein eta j represents the phase angle of the frequency response curve at the j-th frequency point under the normal condition, JC1 represents the average angle characteristic of the winding to be detected, JC2 represents the square angle characteristic of the winding to be detected, ZC1 represents the average angle characteristic of the normal winding, and ZC2 represents the square angle characteristic of the normal winding;
(3) Calculating the temperature rise correlation frequency response curve correlation angle J
(4) Calculating an evaluation factor F, and judging the fault type
If F is less than M 3, judging that the fault is axial displacement; if F is more than or equal to M 3, judging that the fault is a radial deformation fault, and continuing to step four, wherein M 3 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
Step four: transformer winding radial deformation type judgment
(1) Calculating a distance factor D and judging the specific type of radial deformation:
If D is smaller than M 4, judging that the radial concave fault exists; if D is more than or equal to M 4, the radial outward convex fault is judged, M 4 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding.
Drawings
FIG. 1 is a diagram of a device for testing frequency response curves at different temperatures in the method of the present invention
FIG. 2 is a flow chart of the method of the present invention
Detailed description of the preferred embodiments
The invention is described in further detail below with reference to the accompanying drawings:
As shown in fig. 1, the frequency response curve test platform for the transformer at different temperatures mainly includes: the frequency response tester comprises a frequency response tester (1), an iron core (2), a high-voltage winding (3), a low-voltage winding (4), a temperature sensor (5), a current source (6), a transformer box body (7), a sleeve (8), a computer (9), a switch a (10) and a switch b (11), wherein the high-voltage winding (3) is formed by a plurality of wire cakes, adjacent wire cakes are connected in series, the low-voltage winding (4) forms the high-voltage winding (3), the switch a (10) opens and closes the frequency response tester (1) to test a frequency response curve of the transformer, the switch b (11) opens and closes the current source (6) to adjust the temperature of the winding, the computer (9) is connected with the frequency response tester (1) to transmit data, and the temperature sensor (5) is arranged at the bottom of the box body to measure the temperature around the winding;
Fig. 2 is a flow chart of a transformer winding fault recognition method considering temperature factors, which is characterized by combining frequency response curves of transformers at different temperatures, extracting characteristics of the curves from a plurality of angles of amplitude frequency and phase frequency, and accurately recognizing winding states, and specifically comprises the following steps:
step one: obtaining frequency response signals at different temperatures
Measuring transformer frequency response signals of a transformer in different temperature environments, wherein the output end of a frequency response tester (1) is connected to the bottom of a high-voltage winding (3) through a sleeve (8), the test end of the frequency response tester (1) is connected to the top of the high-voltage winding (3) through the sleeve (8), a direct current source (6) is connected with the sleeve (8) through a switch b (11) and is used for applying current to the winding to control the temperature of the winding, firstly, a switch a (10) is opened, the switch b (11) is closed, the amplitude of the current source (6) is simultaneously adjusted to switch on the current to control the temperature, the temperature around the winding is monitored through a temperature sensor (5), the temperature sensor (5) is connected with a computer (9) to monitor the temperature in real time, the switch b (11) is opened after the temperature reaches a target value, the frequency response curve of the transformer winding in the state is obtained by switching on the frequency response tester (1), the switch a (10) is repeatedly tested in this way, the frequency response curve of the transformer winding with the winding temperature of 10 as a gradient is obtained, the frequency response curve A (i(f),Ai(f)＝[ai1 ai2…aiN) is measured through the frequency response tester, the amplitude value A3565 is measured, and the amplitude of phase angle delta 35N 35 phase angle data are respectively, and the amplitude 35N 35 data of the phase angle N are obtained;
Step two: the transformer winding fault judgment comprises the following steps:
(1) Calculating the curve deviation rate mu of the frequency response curve between the winding to be detected and the normal winding at different temperatures i
Wherein, T i represents the temperature when the ith frequency response curve is measured, T 0 represents the temperature under normal conditions, a ij represents the amplitude of the jth frequency point in the ith frequency response curve, a j represents the amplitude of the jth frequency point in the normal conditions, and N represents the number of collected data points;
(2) Calculating to obtain winding state judgment factor sigma
If M 1≥σ≥M2, judging that the winding has no fault; if sigma is more than M 1 or sigma is less than M 2, judging that the winding fails, wherein M 1,M2 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
step three: the transformer winding fault type judgment comprises the following steps:
(1) Calculating temperature rise associated frequency response curve
Wherein x j,yj represents the values of the amplitude and the phase angle in the temperature rise associated frequency response curve when the sampling points j epsilon [1, N ] are respectively;
(2) Calculating the angular characteristics of the frequency response curve
Wherein eta j represents the phase angle of the frequency response curve at the j-th frequency point under the normal condition, JC1 represents the average angle characteristic of the winding to be detected, JC2 represents the square angle characteristic of the winding to be detected, ZC1 represents the average angle characteristic of the normal winding, and ZC2 represents the square angle characteristic of the normal winding;
(3) Calculating the temperature rise correlation frequency response curve correlation angle J
(4) Calculating an evaluation factor F, and judging the fault type
If F is less than M 3, judging that the fault is axial displacement; if F is more than or equal to M 3, judging that the fault is a radial deformation fault, and continuing to step four, wherein M 3 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
Step four: transformer winding radial deformation type judgment
(1) Calculating a distance factor D and judging the specific type of radial deformation:
If D is smaller than M 4, judging that the radial concave fault exists; if D is more than or equal to M 4, the radial outward convex fault is judged, M 4 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding.
Claims (1)
1. A transformer winding fault identification method considering temperature factors is used for a transformer winding fault measurement test platform, and the test platform comprises the following components: the frequency response tester comprises a frequency response tester (1), an iron core (2), a high-voltage winding (3), a low-voltage winding (4), a temperature sensor (5), a current source (6), a transformer box body (7), a sleeve (8), a computer (9), a switch a (10) and a switch b (11), wherein the high-voltage winding (3) is formed by a plurality of wire cakes, adjacent wire cakes are connected in series, the low-voltage winding (4) forms the high-voltage winding (3), the switch a (10) opens and closes the frequency response tester (1) to test a frequency response curve of the transformer, the switch b (11) opens and closes a current source (6) to adjust the temperature of the winding, the computer (9) is connected with the frequency response tester (1) to transmit data, and the temperature sensor (5) is arranged at the bottom of the box body to measure the temperature around the winding, and the specific test method comprises the following steps:
step one: obtaining frequency response signals at different temperatures
Measuring transformer frequency response signals of a transformer in different temperature environments, wherein the output end of a frequency response tester (1) is connected to the bottom of a high-voltage winding (3) through a sleeve (8), the test end of the frequency response tester (1) is connected to the top of the high-voltage winding (3) through the sleeve (8), a direct current source (6) is connected with the sleeve (8) through a switch b (11) and is used for applying current to the winding to control the temperature of the winding, firstly, a switch a (10) is opened, the switch b (11) is closed, the amplitude of the current source (6) is simultaneously adjusted to switch on the current to control the temperature, the temperature around the winding is monitored through a temperature sensor (5), the temperature sensor (5) is connected with a computer (9) to monitor the temperature in real time, the switch b (11) is opened after the temperature reaches a target value, the frequency response curve of the transformer winding in the state is obtained by switching on the frequency response tester (1), the switch a (10) is repeatedly tested in this way, the frequency response curve of the transformer winding with the winding temperature of 10 as a gradient is obtained, the frequency response curve A (i(f),Ai(f)＝[ai1ai2…aiN) is measured through the frequency response tester, the amplitude value A3565 is measured, and the amplitude of phase angle delta 35N 35 phase angle data are respectively, and the amplitude 35N 35 data of the phase angle N are obtained;
Step two: the transformer winding fault judgment comprises the following steps:
(1) Calculating the curve deviation rate mu of the frequency response curve between the winding to be detected and the normal winding at different temperatures i
Wherein, T i represents the temperature when the ith frequency response curve is measured, T 0 represents the temperature under normal conditions, a ij represents the amplitude of the jth frequency point in the ith frequency response curve, a j represents the amplitude of the jth frequency point in the normal conditions, and N represents the number of collected data points;
(2) Calculating to obtain winding state judgment factor sigma
If M 1≥σ≥M2, judging that the winding has no fault; if sigma is more than M 1 or sigma is less than M 2, judging that the winding fails, wherein M 1,M2 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
step three: the transformer winding fault type judgment comprises the following steps:
(1) Calculating temperature rise associated frequency response curve
Wherein x j,yj represents the values of the amplitude and the phase angle in the temperature rise associated frequency response curve when the sampling points j epsilon [1, N ] are respectively;
(2) Calculating the angular characteristics of the frequency response curve
Wherein eta j represents the phase angle of the frequency response curve at the j-th frequency point under the normal condition, JC1 represents the average angle characteristic of the winding to be detected, JC2 represents the square angle characteristic of the winding to be detected, ZC1 represents the average angle characteristic of the normal winding, and ZC2 represents the square angle characteristic of the normal winding;
(3) Calculating the temperature rise correlation frequency response curve correlation angle J
(4) Calculating an evaluation factor F, and judging the fault type
If F is less than M 3, judging that the fault is axial displacement; if F is more than or equal to M 3, judging that the fault is a radial deformation fault, and continuing to step four, wherein M 3 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding;
Step four: transformer winding radial deformation type judgment
(1) Calculating a distance factor D and judging the specific type of radial deformation:
If D is smaller than M 4, judging that the radial concave fault exists; if D is more than or equal to M 4, the radial outward convex fault is judged, M 4 is a constant related to the type of the transformer, the operation parameters and the heat resistance of the winding.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211481052.6A CN115856724B (en) | 2022-11-24 | 2022-11-24 | Transformer winding fault identification method considering temperature factors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211481052.6A CN115856724B (en) | 2022-11-24 | 2022-11-24 | Transformer winding fault identification method considering temperature factors |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115856724A CN115856724A (en) | 2023-03-28 |
| CN115856724B true CN115856724B (en) | 2024-07-12 |
Family
ID=85665749
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211481052.6A Active CN115856724B (en) | 2022-11-24 | 2022-11-24 | Transformer winding fault identification method considering temperature factors |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115856724B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116660611B (en) * | 2023-07-26 | 2023-11-03 | 湖南璟德科技有限公司 | Measuring method, measuring platform, equipment and medium of heavy current mobile measuring platform |
| CN117706299A (en) * | 2023-12-13 | 2024-03-15 | 西南交通大学 | Transformer winding fault identification method based on humid environment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182099A (en) * | 2015-06-17 | 2015-12-23 | 国家电网公司 | Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method |
| CN107084803A (en) * | 2017-05-15 | 2017-08-22 | 西南交通大学 | Transformer Winding major insulation thermograde test system under stopping up of oil channel |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109581055A (en) * | 2018-12-28 | 2019-04-05 | 广东电网有限责任公司 | A kind of transformer winding fault type detection method based on Multiresolution Decomposition method |
| CN110361611B (en) * | 2019-06-23 | 2020-09-01 | 西南交通大学 | Frequency response test platform under radial deformation of transformer winding and evaluation method thereof |
| CN114548012B (en) * | 2022-02-09 | 2024-07-05 | 三峡大学 | Transformer winding deformation fault diagnosis method based on three-dimensional frequency response curve centroid analysis |
-
2022
- 2022-11-24 CN CN202211481052.6A patent/CN115856724B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182099A (en) * | 2015-06-17 | 2015-12-23 | 国家电网公司 | Transformer winding deformation degree and fault diagnosis method based on frequency response analysis method |
| CN107084803A (en) * | 2017-05-15 | 2017-08-22 | 西南交通大学 | Transformer Winding major insulation thermograde test system under stopping up of oil channel |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115856724A (en) | 2023-03-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115856724B (en) | Transformer winding fault identification method considering temperature factors | |
| CN102253304B (en) | Failure diagnostic method for dynamic stable state of power transformers | |
| CN102998545B (en) | Online transformer winding work state monitoring method | |
| CN105738760B (en) | A kind of high resistive fault distance measuring method of frequency domain method in conjunction with traveling wave method | |
| CN110456299B (en) | On-line detection method for turn-to-turn short circuit fault of secondary winding of current transformer | |
| CN112710930A (en) | Online evaluation method for insulation state in capacitor voltage transformer | |
| CN109443190B (en) | Transient traveling wave-based transformer winding deformation online monitoring method and device | |
| CN111273199A (en) | Intelligent detection method for transformer winding deformation based on sweep frequency impedance curve identification | |
| CN109521391B (en) | Device and method for detecting turn-to-turn short circuit fault of generator voltage transformer winding | |
| CN109991508B (en) | Transformer winding state diagnosis method based on dynamic nonlinear characteristic sequence | |
| CN105093059A (en) | Transformer winding work state detection method based on normalization singular spectrum entropies | |
| CN107576884A (en) | The online Fault Locating Method of deformation of transformer winding based on empirical mode decomposition and neutral net | |
| CN108896161A (en) | A kind of Wound iron-core transformer winding failure analog platform and assessment method | |
| CN109284933A (en) | A kind of electronic mutual inductor status assessing system and method based on mathematical statistics | |
| CN105281291A (en) | Residual current protective device and current protective method thereof | |
| CN112924905B (en) | Transformer winding insulation evaluation method based on gradient voltage high-frequency oscillation | |
| Kakolaki et al. | Comprehensive study on transformer fault detection via frequency response analysis | |
| CN112782532A (en) | Power distribution network fault location method based on traveling wave signal generated by circuit breaker closing | |
| CN117375221A (en) | Electrical equipment early warning protection system based on operation data | |
| CN110645887A (en) | Winding deformation judgment method based on short-circuit reactance | |
| De et al. | A fuzzy ARTMAP fault classifier for impulse testing of power transformers | |
| CN113052249B (en) | Transformer winding fault type identification method based on support vector machine and current deviation coefficient | |
| CN107576259A (en) | Deformation of transformer winding online test method based on very fast transient overvoltage characteristic | |
| CN115902695A (en) | Transformer winding short-circuit state detection method based on pulse frequency response curve characteristics | |
| CN114781165A (en) | Multi-feature information fusion power transformer winding health diagnosis method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |